Advanced Imaging Measures Iron Levels in Brain
By MedImaging International staff writers Posted on 10 Dec 2018 |

Image: Combining dcMEG data with an MRI shows magnetite location in the brain (Photo courtesy Sheraz Kahn/ MGH).
A new study suggests magnetoencephalography (MEG) can be used to measure levels of magnetite in the human brain, which may help detect neurodegenerative disorders such as Alzheimer's disease (AD).
Researchers at Massachusetts General Hospital (MGH; Boston, USA) and the Massachusetts Institute of Technology (MIT; Cambridge, MA, USA) enrolled 11 male participants (19-89 years of age) who underwent an initial baseline direct current (dc) MEG scan before magnetic resonance imaging (MRI) scanning, both to acquire an image and to magnetize any magnetite particles within their brains. A second dcMEG scan was taken several minutes later to identify changes in the magnetic field, reflecting the size and shape of magnetite particles.
Subsequent alignment of the MEG and MRI images allowed precise localization of the magnetic signals. The results revealed greater accumulation of magnetite in the brains of the oldest volunteers, primarily in and around the hippocampus, replicating post-mortem studies. The rate at which the magnetic signal dissipated--a measure of particle size--was calculated by subsequent dcMEG scans taken from hours to several days later. The study was published on November 20, 2018, in Human Brain Mapping.
“The ability to measure and localize magnetite in the living brain will allow new studies of its role in both the normal brain and in neurodegenerative disease,” said study co-author David Cohen, PhD, of the MGH Martinos Center for Biomedical Imaging Center and MIT. “Studies could investigate whether the amount of magnetite in the hippocampal region could predict the development of Alzheimer's disease and whether treatments that influence magnetite could alter disease progression.”
“Our findings allow in‐vivo measurement of magnetite in the human brain, and possibly open the door for new studies of neurodegenerative diseases of the brain,” concluded lead author Sheraz Khan, PhD, of the MGH Martinos Center for Biomedical Imaging Center. “While this new tool is now ready to be applied in studies of patients with neurodegenerative diseases, several improvements, such as a new magnet specifically built for this purpose, will be required to produce the precise measurements required for accurate diagnosis.”
Magnetite (Fe3O4) particles in the human brain, first reported in 1992, draw strong interest due to their redox activity, strong magnetic behavior, particle surface charge, and Fenton‐like chemistry, which suggest they serve a physiological purpose in the normal brain. It has also been shown that magnetite is strongly associated with several degenerative diseases of the brain, especially AD, in which magnetite nanoparticles were found to be associated with tangles and plaques.
Related Links:
Massachusetts General Hospital
Massachusetts Institute of Technology
Researchers at Massachusetts General Hospital (MGH; Boston, USA) and the Massachusetts Institute of Technology (MIT; Cambridge, MA, USA) enrolled 11 male participants (19-89 years of age) who underwent an initial baseline direct current (dc) MEG scan before magnetic resonance imaging (MRI) scanning, both to acquire an image and to magnetize any magnetite particles within their brains. A second dcMEG scan was taken several minutes later to identify changes in the magnetic field, reflecting the size and shape of magnetite particles.
Subsequent alignment of the MEG and MRI images allowed precise localization of the magnetic signals. The results revealed greater accumulation of magnetite in the brains of the oldest volunteers, primarily in and around the hippocampus, replicating post-mortem studies. The rate at which the magnetic signal dissipated--a measure of particle size--was calculated by subsequent dcMEG scans taken from hours to several days later. The study was published on November 20, 2018, in Human Brain Mapping.
“The ability to measure and localize magnetite in the living brain will allow new studies of its role in both the normal brain and in neurodegenerative disease,” said study co-author David Cohen, PhD, of the MGH Martinos Center for Biomedical Imaging Center and MIT. “Studies could investigate whether the amount of magnetite in the hippocampal region could predict the development of Alzheimer's disease and whether treatments that influence magnetite could alter disease progression.”
“Our findings allow in‐vivo measurement of magnetite in the human brain, and possibly open the door for new studies of neurodegenerative diseases of the brain,” concluded lead author Sheraz Khan, PhD, of the MGH Martinos Center for Biomedical Imaging Center. “While this new tool is now ready to be applied in studies of patients with neurodegenerative diseases, several improvements, such as a new magnet specifically built for this purpose, will be required to produce the precise measurements required for accurate diagnosis.”
Magnetite (Fe3O4) particles in the human brain, first reported in 1992, draw strong interest due to their redox activity, strong magnetic behavior, particle surface charge, and Fenton‐like chemistry, which suggest they serve a physiological purpose in the normal brain. It has also been shown that magnetite is strongly associated with several degenerative diseases of the brain, especially AD, in which magnetite nanoparticles were found to be associated with tangles and plaques.
Related Links:
Massachusetts General Hospital
Massachusetts Institute of Technology
Latest General/Advanced Imaging News
- AI-Powered Imaging System Improves Lung Cancer Diagnosis
- AI Model Significantly Enhances Low-Dose CT Capabilities
- Ultra-Low Dose CT Aids Pneumonia Diagnosis in Immunocompromised Patients
- AI Reduces CT Lung Cancer Screening Workload by Almost 80%
- Cutting-Edge Technology Combines Light and Sound for Real-Time Stroke Monitoring
- AI System Detects Subtle Changes in Series of Medical Images Over Time
- New CT Scan Technique to Improve Prognosis and Treatments for Head and Neck Cancers
- World’s First Mobile Whole-Body CT Scanner to Provide Diagnostics at POC
- Comprehensive CT Scans Could Identify Atherosclerosis Among Lung Cancer Patients
- AI Improves Detection of Colorectal Cancer on Routine Abdominopelvic CT Scans
- Super-Resolution Technology Enhances Clinical Bone Imaging to Predict Osteoporotic Fracture Risk
- AI-Powered Abdomen Map Enables Early Cancer Detection
- Deep Learning Model Detects Lung Tumors on CT
- AI Predicts Cardiovascular Risk from CT Scans
- Deep Learning Based Algorithms Improve Tumor Detection in PET/CT Scans
- New Technology Provides Coronary Artery Calcification Scoring on Ungated Chest CT Scans
Channels
Radiography
view channel
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read more
Higher Chest X-Ray Usage Catches Lung Cancer Earlier and Improves Survival
Lung cancer continues to be the leading cause of cancer-related deaths worldwide. While advanced technologies like CT scanners play a crucial role in detecting lung cancer, more accessible and affordable... Read moreMRI
view channel
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read more
AI-Powered MRI Technology Improves Parkinson’s Diagnoses
Current research shows that the accuracy of diagnosing Parkinson’s disease typically ranges from 55% to 78% within the first five years of assessment. This is partly due to the similarities shared by Parkinson’s... Read more
Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
Artificial intelligence (AI) technologies are transforming the way medical images are analyzed, offering unprecedented capabilities in quantitatively extracting features that go beyond traditional visual... Read more
First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
Each year, approximately 800,000 people in the U.S. experience strokes, with marginalized and minoritized groups being disproportionately affected. Strokes vary in terms of size and location within the... Read moreUltrasound
view channel
Smart Ultrasound-Activated Immune Cells Destroy Cancer Cells for Extended Periods
Chimeric antigen receptor (CAR) T-cell therapy has emerged as a highly promising cancer treatment, especially for bloodborne cancers like leukemia. This highly personalized therapy involves extracting... Read more
Tiny Magnetic Robot Takes 3D Scans from Deep Within Body
Colorectal cancer ranks as one of the leading causes of cancer-related mortality worldwide. However, when detected early, it is highly treatable. Now, a new minimally invasive technique could significantly... Read more
High Resolution Ultrasound Speeds Up Prostate Cancer Diagnosis
Each year, approximately one million prostate cancer biopsies are conducted across Europe, with similar numbers in the USA and around 100,000 in Canada. Most of these biopsies are performed using MRI images... Read more
World's First Wireless, Handheld, Whole-Body Ultrasound with Single PZT Transducer Makes Imaging More Accessible
Ultrasound devices play a vital role in the medical field, routinely used to examine the body's internal tissues and structures. While advancements have steadily improved ultrasound image quality and processing... Read moreNuclear Medicine
view channel
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read more
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more